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Author Question: A Type II error is defined as: a. rejecting a true null hypothesis. c. not rejecting a true null ... (Read 190 times)

jon_i

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on: Jun 24, 2018
A Type II error is defined as:
 a. rejecting a true null hypothesis. c. not rejecting a true null hypothesis.
  b. rejecting a false null hypothesis. d. not rejecting a false null hypothesis.

Question 2

In a first-order model with two predictors x1 and x2, an interaction term may be used when the:
 a. relationship between the dependent variable and the independent variables is linear.
  b. effect of x1 on the dependent variable is influenced by x2.
  c. effect of x2 on the dependent variable is influenced by x1.
  d. both b and c.


kusterl

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Reply #1 on: Jun 24, 2018
Answer to Question 1

D

Answer to Question 2

D


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